Ames, United States

Iowa State University

Iowa State University is listed as QS 2026 rank 449. Iowa State University has 8 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Iowa State University is listed as QS 2026 rank 449. Iowa State University has 8 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Iowa State University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/iowa-state-university.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage8 reviewedSource languageen, en-USPublic JSON/api/public/v1/universities/iowa-state-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: Microsoft Copilot, Gemini.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims8Reviewed8Candidate0Official sources6

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Academic integrity

Iowa State University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Teaching guidance

Iowa State University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

8 reviewed evidence-backed public claim

Privacy

Iowa State guidance says confidential data classified as moderate or above may not be entered into any generative AI product unless assessed and approved under ISU data classification and applicable compliance processes.

Review: Agent reviewedConfidence96%

Normalized value: moderate_or_above_confidential_data_needs_assessment_and_approval_before_genai_input

Original evidence

Evidence 1
Confidential data (data classified as “moderate” or above), may not be entered into any generative AI product unless the confidential data has been assessed and approved for such use in accordance with ISU’s data classification policy and other appropriate institutional compliance offices as applicable.

Source Status

Iowa State's Office of the Vice President for Research states that ISU does not have a formal policy regarding AI use in research and instead urges principal investigators to follow guidance from professional societies, funding agencies, and publishers.

Review: Agent reviewedConfidence95%

Normalized value: no_formal_research_ai_policy_ovpr_guidance_points_to_external_research_norms

Original evidence

Evidence 1
No. With a technology that is evolving as rapidly as GenAI, any formal policy is likely to already be outdated by the time it would be enacted across the institution. Therefore, we urge all principal investigators to follow the AI guidance and direction of their professional societies, funding agencies, and the publishing houses they target for their research papers.

Ai Tool Treatment

Iowa State guidance says generative AI use must comply with applicable laws, institutional requirements, and listed university policies, and users are responsible for AI-generated content they publish.

Review: Agent reviewedConfidence94%

Normalized value: genai_use_must_align_with_laws_policies_and_user_responsibility

Original evidence

Evidence 1
Use of generative AI must align with the university’s mission, vision, and values and comply with all state and federal laws and institutional regulations and requirements, including the university policies regarding: Acceptable use of information technology resources; IT security; Data classification; Research data policies.

Privacy

Iowa State research guidance warns that users cannot assume GenAI tools comply with HIPAA, FERPA, and similar confidentiality rules, and says uploading information to a public AI tool is equivalent to releasing it publicly.

Review: Agent reviewedConfidence94%

Normalized value: research_guidance_warns_public_ai_uploads_are_public_disclosures

Original evidence

Evidence 1
You cannot assume GenAI tools are compliant with rules and laws designed to ensure the confidentiality of private information, such as HIPAA (Health Insurance Portability and Accountability Act of 1996) and FERPA (Family Educational Rights and Privacy Act). Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly.

Ai Tool Treatment

Iowa State marketing and communications guidance says materials cannot be created solely by generative AI, AI-assisted content requires human review, and confidential data should not be entered into generative AI tools.

Review: Agent reviewedConfidence93%

Normalized value: marcom_materials_not_solely_ai_human_review_required_no_confidential_data

Original evidence

Evidence 1
Marketing and communications materials cannot be created solely by generative AI; Use of generative AI tools must comply with existing Iowa State policies; Human review is required for all content produced with AI assistance; Confidential data should not be entered into generative AI tools.

Academic Integrity

Iowa State Student Conduct guidance says suspected AI-generated coursework referrals will be reviewed similarly to other forms of academic misconduct.

Review: Agent reviewedConfidence91%

Normalized value: suspected_ai_generated_coursework_referrals_reviewed_like_academic_misconduct

Original evidence

Evidence 1
Faculty and instructors may wish to add specific information in their syllabus related to use of AI content generation. CELT has developed recommendations for syllabus language about AI that may be useful in addressing these concerns, and provides information on potential alternative assignments and assessments. Suspected AI-generated coursework referrals will be reviewed similar to any other form of academic misconduct.

Ai Tool Treatment

Iowa State's central AI site identifies several AI tools for university users and marks verified data protection for Microsoft Copilot web, Microsoft Copilot 365, Google Gemini, Google NotebookLM, and BoxAI.

Review: Agent reviewedConfidence90%

Normalized value: central_ai_site_lists_tools_and_verified_data_protection_statuses

Original evidence

Evidence 1
Compare features of available AI tools | Verified data protection | Verified | Verified | Verified | Verified | In progress | Verified

Teaching

Iowa State CELT describes AI teaching resources for instructors, including GenAI syllabus considerations and a Canvas page on use of GenAI in Iowa State courses.

Review: Agent reviewedConfidence86%

Normalized value: celt_ai_teaching_resources_include_syllabus_and_canvas_materials

Original evidence

Evidence 1
The resources below are designed to support ISU instructors as they navigate AI use from a teaching and learning lens. CELT Gen AI Syllabus Considerations: This resource helps you craft a Gen AI syllabus statement specific to your course. Use of Gen AI in Iowa State Courses: An interactive page that can be added to any Canvas course, featuring quick answers to common student questions.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

6 source attribution

Artificial Intelligence

ai.iastate.edu

Snapshot hash
22be489b959268eeda465eee25b17831c70073a2c85edcca5410025d8577f525

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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